Module opencv::imgproc
[−]
[src]
Structs
| FilterEngine | |
| Moments |
raster image moments |
| Subdiv2D |
Constants
Traits
| CLAHE | |
| GeneralizedHough |
Functions
| adaptive_bilateral_filter |
smooths the image using adaptive bilateral filter |
| adaptive_threshold |
applies variable (adaptive) threshold to the image |
| approx_poly_dp |
approximates contour or a curve using Douglas-Peucker algorithm |
| arc_length |
computes the contour perimeter (closed=true) or a curve length |
| bilateral_filter |
smooths the image using bilateral filter |
| blur |
a synonym for normalized box filter |
| border_interpolate |
1D interpolation function: returns coordinate of the "donor" pixel for the specified location p. |
| bounding_rect |
computes the bounding rectangle for a contour |
| box_filter |
smooths the image using the box filter. Each pixel is processed in O(1) time |
| canny |
applies Canny edge detector and produces the edge map. |
| compare_hist |
compares two histograms stored in dense arrays |
| contour_area |
computes the contour area |
| convert_maps |
converts maps for remap from floating-point to fixed-point format or backwards |
| convex_hull |
computes convex hull for a set of 2D points. |
| convexity_defects |
computes the contour convexity defects |
| copy_make_border |
copies 2D array to a larger destination array with extrapolation of the outer part of src using the specified border mode |
| corner_eigen_vals_and_vecs |
computes both eigenvalues and the eigenvectors of 2x2 derivative covariation matrix at each pixel. The output is stored as 6-channel matrix. |
| corner_harris |
computes Harris cornerness criteria at each image pixel |
| corner_min_eigen_val |
computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria |
| create_box_filter |
returns box filter engine |
| create_deriv_filter |
returns filter engine for the generalized Sobel operator |
| create_gaussian_filter |
returns the Gaussian filter engine |
| create_hanning_window | |
| create_linear_filter |
returns the non-separable linear filter engine |
| create_morphology_filter |
returns morphological filter engine. Only MORPH_ERODE and MORPH_DILATE are supported. |
| create_separable_linear_filter |
returns the separable linear filter engine |
| cvt_color |
converts image from one color space to another |
| dilate |
dilates the image (applies the local maximum operator) |
| distance_transform |
computes the distance transform map |
| distance_transform_labels |
builds the discrete Voronoi diagram |
| equalize_hist |
normalizes the grayscale image brightness and contrast by normalizing its histogram |
| erode |
erodes the image (applies the local minimum operator) |
| filter2_d |
applies non-separable 2D linear filter to the image |
| fit_ellipse |
fits ellipse to the set of 2D points |
| fit_line |
fits line to the set of 2D points using M-estimator algorithm |
| gaussian_blur |
smooths the image using Gaussian filter. |
| get_affine_transform | |
| get_default_new_camera_matrix |
returns the default new camera matrix (by default it is the same as cameraMatrix unless centerPricipalPoint=true) |
| get_deriv_kernels |
initializes kernels of the generalized Sobel operator |
| get_gabor_kernel |
returns the Gabor kernel with the specified parameters |
| get_gaussian_kernel |
returns the Gaussian kernel with the specified parameters |
| get_kernel_type |
returns type (one of KERNEL_*) of 1D or 2D kernel specified by its coefficients. |
| get_perspective_transform | |
| get_rect_sub_pix |
extracts rectangle from the image at sub-pixel location |
| get_rotation_matrix2_d |
returns 2x3 affine transformation matrix for the planar rotation. |
| get_structuring_element |
returns structuring element of the specified shape and size |
| good_features_to_track |
finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima |
| hough_circles |
finds circles in the grayscale image using 2+1 gradient Hough transform |
| hough_lines |
finds lines in the black-n-white image using the standard or pyramid Hough transform |
| hough_lines_p |
finds line segments in the black-n-white image using probabilistic Hough transform |
| hu_moments | |
| init_undistort_rectify_map |
initializes maps for cv::remap() to correct lens distortion and optionally rectify the image |
| init_wide_angle_proj_map |
initializes maps for cv::remap() for wide-angle |
| integral |
computes the integral image |
| integral_sq |
computes the integral image and integral for the squared image |
| integral_tilted |
computes the integral image, integral for the squared image and the tilted integral image |
| intersect_convex_convex |
finds intersection of two convex polygons |
| invert_affine_transform |
computes 2x3 affine transformation matrix that is inverse to the specified 2x3 affine transformation. |
| is_contour_convex |
returns true if the contour is convex. Does not support contours with self-intersection |
| laplacian |
applies Laplacian operator to the image |
| match_shapes |
matches two contours using one of the available algorithms |
| match_template |
computes the proximity map for the raster template and the image where the template is searched for |
| median_blur |
smooths the image using median filter. |
| min_area_rect |
computes the minimal rotated rectangle for a set of points |
| min_enclosing_circle |
computes the minimal enclosing circle for a set of points |
| moments |
computes moments of the rasterized shape or a vector of points |
| morphology_default_border_value |
returns "magic" border value for erosion and dilation. It is automatically transformed to Scalar::all(-DBL_MAX) for dilation. |
| morphology_ex |
applies an advanced morphological operation to the image |
| phase_correlate |
fault value for arguments: - window: default noArray() |
| point_polygon_test |
checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary |
| pre_corner_detect |
computes another complex cornerness criteria at each pixel |
| psnr |
computes PSNR image/video quality metric |
| pyr_down |
smooths and downsamples the image |
| pyr_mean_shift_filtering |
filters image using meanshift algorithm |
| pyr_up |
upsamples and smoothes the image |
| remap |
warps the image using the precomputed maps. The maps are stored in either floating-point or integer fixed-point format |
| resize |
resizes the image |
| scharr |
applies the vertical or horizontal Scharr operator to the image |
| sep_filter2_d |
applies separable 2D linear filter to the image |
| sobel |
applies generalized Sobel operator to the image |
| threshold |
applies fixed threshold to the image |
| undistort |
corrects lens distortion for the given camera matrix and distortion coefficients |
| undistort_points |
returns points' coordinates after lens distortion correction |
| warp_affine |
warps the image using affine transformation |
| warp_perspective |
warps the image using perspective transformation |